Lead Security Engineer - Threat modelling, Cloud Security

JPMorgan Chase & Co.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Security Engineer in Bengaluru to join the Cloud Foundational Services team. You will drive secure software delivery, address cyber threats, and collaborate with agile teams to implement advanced security controls across multiple domains.

The role emphasizes planning, designing, and deploying enterprise-level security solutions, with strong focus on risk modeling, secure coding, and responsible AI use in engineering workflows.

Qualifications

• Formal training or certification in security engineering concepts with hands-on experience.
• 10+ years of hands-on cybersecurity experience.
• Ability to design and implement enterprise-level security solutions.
• Proficiency in one or more programming languages.
• Strong knowledge of platform security enables risk management and secure delivery.

Responsibilities

• Clarify security requirements for multi-network environments to enable secure design.
• Collaborate with stakeholders and leaders to adjust security posture during vulnerabilities.
• Perform risk-based triage and allocate resources to mitigate disruptive events.
• Promote adoption of enterprise AI-assisted engineering practices and ensure secure outputs.
• Apply SDLC tools and AI-assisted capabilities to improve security and automation.

Skills

Security engineering

Cybersecurity

Threat modeling

AI-assisted development tools

Secure coding practices

Platform security

AWS

Kubernetes

Code review

Incident response

Tools

AWS

Kubernetes

AI-assisted tooling

Job description

Job Information

• Job Identification 210758537
• Job Category Security Engineering
• Business Unit Corporate Sector
• Posting Date 10/01/2026, 12:25 PM
• Job Schedule Full time
• Job Shift Day

Job Description

Join a high-performing team where your expertise in cybersecurity will make a direct impact. Advance your career by solving complex challenges across multiple technology domains.

As a Lead Security Engineer at JPMorgan Chase within the Cloud Foundational Services team, you play a pivotal role in delivering secure software solutions that meet functional and user requirements while preventing misuse and malicious behavior. You drive business impact through your technical capabilities and problem-solving skills, addressing diverse cybersecurity challenges. You are part of an agile team that values innovation and collaboration, contributing to a culture focused on excellence and growth.

Job responsibilities

• Facilitate security requirements clarification for multiple networks to enable multi-level security that satisfies organizational needs
• Work with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability
• Triage based on risk assessments of various threats and manage resources to cover the impact of disruptive events
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities and skills

• Formal training or certification on security engineering concepts and 5+ years applied experience
• 10+ years cyber security hands-on experience
• Skilled in planning, designing, and implementing enterprise-level security solutions
• Advanced in one or more programming languages
• Advanced knowledge of platform security enablement and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., AWS, Kubernetes, artificial intelligence, machine learning, etc.)
• Extensive experience with threat modeling and business risk articulation
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Ability to tackle design and functionality problems independently with little to no oversight

Preferred qualifications, capabilities and skills

• Experience effectively communicating with senior business leaders